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Event Related Document Retrieval with Multilingual Real World Event Representation

Abstract : This demonstration paper introduces a tool to analyse historical digital libraries with the benefit of publicly available knowledge bases, such as Wikidata and Wikipedia. In this paper, we focus on realworld-events of the past, such as festivals or assassinations. We introduce our method which merges knowledge from Wikidata and Wikipedia article summaries to gather entities involved in events, dates, types and labels. We hereby present the Web tool we designed and the implemented method to characterise events. It integrates easily into any event oriented pipeline: in our demonstration, we use it to find event related documents in the NewsEye corpus 1 .
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Contributor : Guillaume Bernard Connect in order to contact the contributor
Submitted on : Friday, November 5, 2021 - 8:19:40 AM
Last modification on : Thursday, May 12, 2022 - 3:39:37 PM
Long-term archiving on: : Sunday, February 6, 2022 - 6:18:51 PM


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  • HAL Id : hal-03415957, version 1



Guillaume Bernard, Cyrille Suire, Cyril Faucher, Antoine Doucet. Event Related Document Retrieval with Multilingual Real World Event Representation. 20th International Semantic Web Conference, Oct 2021, Online, France. ⟨hal-03415957⟩



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